GeoDatabaseModellingUsingCaseTools
Geodatabase数据模型

Geodatabase数据模型1 Geodatabase概念 Geodatabase是ArcInfo8引入的一种全新的面向对象的空间数据模型,是建立在DBMS之上的统一的、智能的空间数据模型。
“统一”是指,Geodatabase之前的多个空间数据模型都不能在一个统一的模型框架下对地理空间要素信息进行统一的描述,而Geodatabase做到了这一点;“智能化”是指,在Geodatabase模型中,对空间要素的描述和表达较之前的空间数据模型更接近我们的现实世界,更能清晰、准确地反映现实空间对象的信息。
GeoDatabase的设计主要是针对标准关系数据库技术的扩展,它扩展了传统的点、线和面特征,为空间信息定义了一个统一的模型。
在该模型的基础上,使用者可以定义和操作不同应用的具体模型,例如交通规划模型、土地管理模型、电力线路模型等。
GeoDatabase为创建和操作不同用户的数据模型提供了一个统一的、强大的平台。
由于Geodatabase是一种面向对象的数据模型,在此模型中,空间中的实体可以表示为具有性质、行为和关系的对象。
Geodatabase 描述地理对象主要通过以下以下四种形式: (1)用矢量数据描述不连续的对象; (2)用栅格数据描述连续对象; (3)用TINs描述地理表面; (4)用Location或者Address描述位址。
Geodatabase还支持表达具有不同类型特征的对象,包括简单的物体、地理要素(具有空间信息的对象)、网络要素(与其他要素有几何关系的对象)、拓扑相关要素、注记要素以及其他更专业的特征类型。
该模型还允许定义对象之间的关系和规则,从而保持地物对象间相关性和拓扑性的完整。
2 Geodatabase体系结构 Geodatabase以层次结构的数据对象来组织地理数据。
这些数据对象存储在要素类(Feature Classes)、对象类(0bject classes)和数据集(Feature datasets)中。
基于Geodatabase与CASE工具设计森林资源二类调查数据库

基于Geodatabase与CASE工具设计森林资源二类调查数
据库
甘桂春;文益君;李望君;程根南
【期刊名称】《林业调查规划》
【年(卷),期】2008(033)005
【摘要】介绍Geodatabase数据模型、UML语言和CASE工具的特点,对森林资源二类调查数据库结构进行了分析和设计,然后应用Visio 2003创建了Geodatabase模型.认为与传统方式相比,该方式具有数据库结构调整方便,开发周期缩短的特点,并实现了空间数据与属性数据的一体化存储.
【总页数】4页(P14-17)
【作者】甘桂春;文益君;李望君;程根南
【作者单位】中南林业科技大学资源与环境学院,湖南,长沙,410004;中南林业科技大学资源与环境学院,湖南,长沙,410004;中南林业科技大学资源与环境学院,湖南,长沙,410004;湖南泰格林纸集团,湖南,岳阳,414005
【正文语种】中文
【中图分类】TP311.131;S757.27
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2.基于Geodatabase数据模型和Case工具设计实现配电GIS数据库 [J], 冯晓良;
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基于CASE工具的Geodatabase建模

基于CASE工具的Geodatabase建模摘要:Geodatabase是目前最具优势的空间数据库模型之一,是一种采用标准关系数据库技术来表现地理信息的数据模型。
使用ESRI软件提供的功能手动创建Geodatabase的是一个复杂费时的过程,而且难以保证数据之间映射的准确性,采用UML建模语言,通过使用CAUSE建模工具,建立起对象、元素、空间实体间的对应关系,自动生成geodatabase空间数据库,实现数据的动态导入,并保证数据间映射关系的正确性。
文章以一个GIS项空间数据库的设计与实现为例,讨论如何用UML来设计空间数据库,把面向对象的理论和方法应用于空间数据库的设计。
关键词:空间数据库;GIS;Geodatabase;CASE工具1、引言地理空间数据库是某一区域内关于一定地理要素特征的数据集合。
包括多维的点、线、矩形、多边形、立方体和其它的几何对象。
空间数据库的布局和存取能力对地理信息系统功能的实现和工作的效率影响极大,空间数据库设计在地理信息系统建设中具有较大的重要性。
Geodatabase是ESRI公司推出的,一种采用标准关系数据库技术来表现地理信息的数据模型。
Ge-odatabase数据库中融入了面向对象的核心技术,是在新的一体化数据存储技术的基础上发展起来的新数据模型,其地理空间特征的表达较之以往的模型更接近对现实地理事物对象的认识和表达,使得物理模型与逻辑模型更加接近。
Geodatabase搭建了一个框架,这样用户可以轻易的传见智能化要素,模拟真实世界中对象之间的作用和行为。
地质遗迹景观数据库需要存放遗迹景观的空间数据和属性数据,因此,数据库建设要考虑同时管理空间数据和属性数据。
选用Geodatabase数据模型可以使地理数据统一存储,所有的地理数据可以由一个数据库存储和集中管理,实现了严格意义上地理空间数据库。
2、CASE工具建模CASE工具是计算机信息系统结构化分析、数据流程描述、数据实体关系表达、数据字典与系统原型生成、原代码生成的重要工具,在非空间型计算机信息系统的设计与建立中有着较为广泛的应用。
Geometric Modeling

Geometric ModelingGeometric modeling is a crucial aspect of computer-aided design and computer graphics, playing a significant role in various industries such as architecture, engineering, and animation. It involves the creation of digital representations of physical objects and environments, allowing for visualization, analysis, and simulation. The process of geometric modeling encompasses a wide range of techniques and approaches, each with its own unique advantages and limitations. One of the primary perspectives to consider when discussing geometric modeling is its application in architectural design. Architects rely on geometric modeling to create detailed 3D representations of buildings and structures, enabling them to visualize the final product, identify potential design flaws, and communicatetheir ideas effectively to clients and stakeholders. This application of geometric modeling not only enhances the efficiency of the design process but also contributes to the overall aesthetics and functionality of the built environment. In the realm of engineering, geometric modeling plays a crucial role in the development of mechanical components, industrial equipment, and infrastructure. Engineers utilize geometric modeling to design and analyze complex geometries, simulate mechanical behavior, and ensure the manufacturability of their designs. By leveraging geometric modeling software, engineers can streamline the product development process, optimize designs for performance and cost, and ultimately bring innovative solutions to market. Furthermore, geometric modeling is integral to the field of computer graphics and animation. In the entertainment industry, geometric modeling is used to create lifelike characters, immersive environments, and stunning visual effects. Whether it's for blockbuster films, video games, or virtual reality experiences, geometric modeling enables artists and animators to bring their creative visions to life with unprecedented realism and detail, captivating audiences around the world. From a technical perspective, geometric modeling encompasses various methodologies, including parametric modeling, freeform modeling, and procedural modeling. Each approach offers distinct advantages in terms of flexibility, precision, and computational efficiency. Parametric modeling, for example, allows designers to establish relationships between geometric elements, enabling them to make quick and consistent designchanges. On the other hand, freeform modeling empowers artists to sculpt organic shapes and surfaces with artistic freedom, ideal for creating characters and natural forms. Procedural modeling, with its algorithmic approach, is well-suited for generating complex geometries and repetitive patterns with minimal manual intervention. In addition to its practical applications, geometric modeling also presents challenges and opportunities for innovation. As technology advances, the demand for more sophisticated and intuitive modeling tools continues to grow. This has led to the development of new techniques such as generative design, which leverages algorithms to explore a vast range of design options based on specified criteria. Generative design not only accelerates the exploration of novelsolutions but also pushes the boundaries of what is achievable through traditional design methods. In conclusion, geometric modeling is a multifaceted discipline with far-reaching implications across various industries. Its impact on architecture, engineering, computer graphics, and beyond underscores its significance as a fundamental tool for innovation and creativity. As technology continues to evolve, so too will the capabilities of geometric modeling, opening up new possibilities for design, visualization, and problem-solving. Embracing these advancements will undoubtedly shape the future of geometric modeling and its transformative potential in the digital age.。
ARCMAP-ARCGIS第13章-地理数据库解析课件

第一节 Geodatabase概述
1. Geodatabase数据模型 ② Geodatabase数据模型的结构 • 3)要素数据集(Feature Datasets) • 要素数据集是共用一个通用坐标系的相关要素类的集合。 要素数据集用于按空间或主题整合相关要素类。它们的主要 用途是,将相关要素类编排成一个公用数据集,用以构建拓 扑、网络数据集、地形数据集或几何网络;保存空间相关要 素类的集合或构建拓扑、网络、地籍数据集和 terrain。
第一节 Geodatabase概述
2. Geodatabase的类型 地理数据库是用于保存数据集集合的“容器”。有以下三
种类型:
① File Geodatabase(文件地理数据库):在文件系统中以文件 夹形式存储。每个数据集都以文件形式保存,该文件大小最多可 扩展至 1 TB。建议使用文件地理数据库而不是个人地理数据库。 ② Personal Geodatabase(个人地理数据库):所有的数据集都 存储于 Microsoft Access 数据文件内,该数据文件的大小最大 为 2 GB。 ③ ArcSDE 地理数据库:也称作多用户地理数据库。这种类型的数 据库使用 Oracle、Microsoft SQL Server、IBM DB2、IBM Informix 或 PostgreSQL 存储于关系数据库中。这些地理数据库 需要使用 ArcSDE,并且在大小和用户数量方面没有限制。
第一节 Geodatabase概述
1. Geodatabase数据模型 ② Geodatabase数据模型的结构 • 9)值域(Domains) • 定义属性的有效取值范围,可以是连续的变化区间,也可 以是离散的取值集合。 • 10)(Validation rules) • 对要素类的行为和取值加以约束的规则。如规定不同管径 的水管要连接,必须通过一个合适的转接头。规定一栋房子 地可以有1-2个主人。
geodatabase

GISC 6382 Applied GIS UT-Dallas Briggs
1
Geodatabase Fundamentals
• • • • • Spatial data formats Geodatabase data structure Personal vs. enterprise geodatabase Components of geodatabase Building geodatabase
– Limited analysis capabilities due to lack of topology
• Geodatabase – introduced in ArcInfo 8. – Object-oriented model – can characterize features more naturally by defining object types, topological, spatial and general relationships, and interactions. – Geodatabase features can be stored in a single database. – Create custom features in addition to points, lines, polygons – Brings physical model closer to logical model.
– CAD – first computer mapping model/format. • Binary file format with little attribute information.
– Coverage – native ArcInfo 7 format.
基于Geodatabase与CASE工具的林地保护利用规划数据库设计

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Geodatabase数据模型概述精品PPT课件

第2讲 Geodatabase数据模型概述
11
Geodatabase按照一定的模型和规则组合空间要素数据集(Feature Dataset),它按层次型的数据对象(Object)来组织空间数据,这些数据对 象包括:对象类、要素类、要素数据集和关系类。
对象类(Object Classes):存储非空间数据的表(Table);
要素数据集(Feature Datasets):共享空间参考系统的要素类的集合;
关系类(Relationship Classes):存储两个对象类或要素类中的实体间的关 联关系的表。
第2讲 Geodatabase数据模型概述
12
对象(Object)代表某个实体,如一栋房子、一条河流,或一名客
户。每个对象存储为一行(Row)。对象有一系列的属性,这些属性 表示对象的性质,如对象的名称、度量值、分类、标识符(关键字)。 属性存储为数据库的列(字段)。
定义了更好的要素外形
Geodatabase数据模型用直线、圆弧、椭圆弧和贝塞尔(Bezier)曲线来 定义要素的外形;
要素集是连续的
Geodatabase数据模型能容纳非常巨大的要素集而不需要进行数据分 片或其他空间分区;
多用户同时编辑地理数据
Geodatabase数据模型支持多用户分别在本地编辑要素的工作流,然 后对出现的冲突进行处理使之达成一致。
第2讲 Geodatabase数据模型概述
主要内容:
2.1 Geodatabase的发展 2.2 Geodatabase的层次结构 2.3 Geodatabase的目录视图 2.4 Geodatabase的类型 2.5 Geodatabase的访问 2.6 Geodatabase与coverage/Shapefile的比较
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Geo-Database Modelling UsingCASE toolsDesign, Modelling and Documentation of the NZERN Geo-databasesProcessed byChristian Schreiner23/12/2005Christchurch, New ZealandChristian Schreiner 2005/2006 iCONTENTS1PROJECT DESCRIPTION (1)2OBJECTIVES (1)3METHODOLOGY (2)3.1L ITERATURE R EVIEW (2)3.2E XPLORING D ATASETS AVAILABLE ON THE NZERN SERVER (2)3.3R EGULAR GROUP MEETINGS AND DISCUSSIONS AMONG GROUP MEMBERS (3)3.4ESRI V IRTUAL C AMPUS C OURSES: (3)3.4.1Using CASE Tools (3)3.4.2Creating, Editing, and Managing Geodatabases for ArcGIS 9 (4)3.4.3Working with Geodatabase Precision and Spatial Domain (4)3.5U SE OF ONLINE SUPPORT SYSTEMS (4)3.6D OCUMENTING DATABASE DESIGN USING THE G EODATABASE-D IAGRAMMER (5)4NZERN GEO-DATABASE MODELS (6)4.1H YDROGRAPHY (6)4.1.1Purpose (6)4.1.2Data structure (6)4.2O BSERVATION (7)4.2.1Purpose (7)4.2.2Data structure (7)4.3R ESTORATION (7)4.3.1Purpose (7)4.3.2Data Structure (7)5TROUBLESHOOTING, HINTS AND TIPS (8)5.1P REREQUISITES (8)5.2I NSTALLATION STEPS (8)5.3I NTRODUCTORY TUTORIAL (9)5.4“A N ERROR OCCURRED WHILE PARSING THE XML DOCUMENT.” (10)5.5“N O OBJECT ID AND NO PROPER GEOMETRY FIELD DEFINED” (10)5.6G EODATABASE D IAGRAMMER (11)6CONCLUSION (13)READINGS (14)APPENDICES (15)Christian Schreiner 2005/2006 13 METHODOLOGY3.1 Literature ReviewThe first step in getting into the topic was scoping the literature available on the web as well as in the NZERN and University libraries. The literature reviewed did not merely cover topics such as geo- database design, but also more specific publications about the ArcHydro Model itself. A detailed list of all the reviewed and used literature is included in the appendix.The most important document has been the ArcHydro book, as it includes all the relevant information about the particular components of the ArcHydro model which has been used as a template to develop one of the NZERN Geo-databases, the hydrography one.3.2 Exploring Datasets available on the NZERN serverOne crucial step in the whole project process was taking a decent look at the already existing data structure on the NZERN server in order to gain a better insight into the organisations structure, tasks, as well as potential requirements for the geo-database layout to be developed. A list of all the datasets with all the relevant shape files, tables, etc. has been available in one MS Excel spreadsheet that provided a good overview about the status quo.Datasetfigure 1: NZERN GIS-datafigure 2: geo-database diagrammer4the freshwater systems. All those datasets, examined in the book “ArcHydro GIS for Water4.2 Observation4.2.1 PurposeThe “observation” model represents sites observed by one or several of NZERN’s volunteers. Depending on the level of accuracy when collecting the data, the observation sites can be points, lines or polygons. In general, those sites could stand for any kind of observation made, such as a water sample location.4.2.2 Data structureThe “observation” data model is not as complex as the “hydrography” model as it merely represents various locations and the link between those locations and a table containing information about the person who carried out the observation and what kind of observation it was. This simple data structure requires only one dataset with a few feature classes and one related table. For further information, see “observation” data model poster.4.3 Restoration4.3.1 PurposeThe “restoration” model contains the spatial representation of NZERN’s restoration sites and also the individual projects within those restoration sites, represented by project areas or if not available just the project centre point. All those project sites have to be within one particular restoration site.4.3.2 Data StructureThe database model consists of merely one feature dataset containing the relevant feature classes for the restoration sites and project sites. Several relationship classes and a topology rule manage the data correctness. For further information, see “restoration” data model poster.5.4 “An ERROR occurred while parsing the XML document.”This error can occur when trying to run the semantic checker in MS Visio in order to validate the developed model. This seems to be a quite common problem as ESRI provides an individual help document for this issues on their support website.Error MessageSchema Wizard returns an error when importing a XMI file:"An error occurred while parsing the XML document. Error number : 516"CauseThe uml.dtd file does not exist in the same directory as the XMI file.Solution or WorkaroundThe file uml.dtd must be present in the directory that contains the XMI files.1. Copy the uml.dtd file from the appropriate location. For ArcGIS 8.x, the defaultlocation would be C:\ArcGIS\arcexe83\CaseTools\Utilities. For ArcGIS 9.0, the default location would be C:\Program Files\ArcGIS\CaseTools\Utilities.2. Paste the uml.dtd file in the same folder as the XMI file being used.5.5 “No OBJECT ID and no proper geometry field defined”Trying to run the semantic checker for one of the models (restoration) the semantic checker log file did give out the message that there is no OBJECTID and that the geometry field has not been defined correctly.Solution or WorkaroundAlways check on the correct direction of the arrows linking the inheritance class to the object class. If the arrow is the wrong way, the object class cannot inherit any attributes from the inheritance class, such as OBJECTID or Geometry.For further information see the ESRI documentation and the tutorial.5.6 Geodatabase DiagrammerOne good possibility to maintain a consistent documentation layout and a high standard of visualisation is the use of the Geodatabase Diagrammer, which allows the user to create standardised Visio diagrams of his or her geo-database layout.The results can further be changed and modified in Visio or for a more sophisticated design in Adobe Illustrator or Corel Draw. The data model poster available on the ESRI homepage have all been created with this diagrammer and have further been designed in Adobe Illustrator.Figure 3: geodatabase diagrammer start6 CONCLUSIONDocumenting the Geodatabase design is a worthwhile part of each GIS project and can help to achieve greater quality outcomes as well as it provides the user with a tool to distribute and communicate the Geodatabase design to other GIS users as well as to lay people.CASE tools can help to achieve this objective and are very useful for large and sophisticated databases rather than for small, simple ones. They require the user to have at least basic skills in object oriented modelling and a good overall knowledge about Geodatabase design itself to develop a model that fits a company’s needs and is extendable when necessary. In retrospect, it can only be recommended to do extensive study about Geodatabase design and CASE tools (e.g. free tutorial and virtual campus course) before designing the first database from scratch or by customising a given model, such as the ArcHydro or Parcel model template.One can say, that even for small and simple databases, documenting the final design with the Geodatabase diagrammer is an simple and time efficient step to get a document that can easily be read and understood by other people, even with minor experience in GIS.APPENDICESAppendix I: Hydrography model poster Appendix II: Observation model poster Appendix III: Restoration model poster。